
Demis Hassabis: Future of AI, Simulating Reality, Physics and Video Games | Lex Fridman Podcast #475
Demis Hassabis explores how AI can discover learnable patterns in nature and address fundamental questions about computation and complexity

2 episodes on Lex Fridman Podcast
Demis Hassabis is the CEO of Google DeepMind and a Nobel Prize winner for his groundbreaking work in protein structure prediction using AI. He is a renowned AI researcher, neuroscientist, and video game designer who has fundamentally advanced our understanding of artificial intelligence and its applications to solving complex biological problems.

Demis Hassabis explores how AI can discover learnable patterns in nature and address fundamental questions about computation and complexity

Demis Hassabis discusses the philosophical implications of the Turing Test and whether modern AI systems are approaching human-level intelligence